Crowdsourcing for Reminiscence Chatbot Design
Svetlana Nikitina, Florian Daniel, Marcos Baez, Fabio Casati

TL;DR
This paper explores the challenges and research questions in using crowdsourcing to design effective reminiscence chatbots for older adults, focusing on content, conversation, and metrics.
Contribution
It formalizes the problem of crowdsourcing in reminiscence chatbot design and outlines key research questions for future work.
Findings
Identified challenges in crowd-based content creation for reminiscence chatbots
Proposed formalization of the problem and research questions
Highlighted the need for scalable strategies in chatbot design
Abstract
In this work-in-progress paper we discuss the challenges in identifying effective and scalable crowd-based strategies for designing content, conversation logic, and meaningful metrics for a reminiscence chatbot targeted at older adults. We formalize the problem and outline the main research questions that drive the research agenda in chatbot design for reminiscence and for relational agents for older adults in general.
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Taxonomy
TopicsDigital Mental Health Interventions · AI in Service Interactions · Innovative Human-Technology Interaction
